title: DNA methylome: Unveiling your biological age.
abstract: Hannum and colleagues performed DNA methylation sequencing to examine the relationship between DNA methylome and aging rate. Notably, they succeeded in building a quantitative and reproducible model based on the epigenetic bio-markers to predict aging rate with high accuracy. This progress enlightens us in many aspects particularly in applying this novel set of bio-markers on studying the mechanism of aging rate using adult tissue-specific stem cells, building up a potential quantitative model to explore the mechanism for other epigenetic factors like non-coding RNA, and understanding the principle and mechanism of 3D chromatin structure in epigenetic modulation.
authors.affiliation: National Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
authors.forename: Ming
authors.initials: M
authors.lastname: Li
authors.forename: Wensu
authors.initials: W
authors.lastname: Liu
authors.forename: Tingting
authors.initials: T
authors.lastname: Yuan
authors.forename: Ruijun
authors.initials: R
authors.lastname: Bai
authors.forename: Guang-Hui
authors.initials: GH
authors.lastname: Liu
authors.forename: Weizhou
authors.initials: W
authors.lastname: Zhang
authors.forename: Jing
authors.initials: J
authors.lastname: Qu
mesh_terms: D000375:Aging / Q000235:genetics* / Q000473:pathology; D001483:Base Sequence; D002843:Chromatin / Q000235:genetics*; D019175:DNA Methylation / Q000235:genetics*; D044127:Epigenesis, Genetic; D015894:Genome, Human; D006801:Humans; D022661:RNA, Untranslated / Q000235:genetics; D017422:Sequence Analysis, DNA / Q000639:trends
chemical_list: D002843:Chromatin; D022661:RNA, Untranslated